Evaluations of user-driven ontology summarization

Authors:
Ning Li;Enrico Motta
Affiliations:
Knowledge Media Institute, The Open University, Milton Keynes, United Kingdom;Knowledge Media Institute, The Open University, Milton Keynes, United Kingdom
Venue:
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
Year:
2010

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Abstract

Ontology Summarization has been found useful to facilitate ontology engineering tasks in a number of different ways. Recently, it has been recognised as a means to facilitate ontology understanding and then support tasks like ontology reuse in ontology construction. Among the works in literature, not only distinctive methods are used to summarize ontology, also different measures are deployed to evaluate the summarization results. Without a set of common evaluation measures in place, it is not possible to compare the performance and therefore judge the effectiveness of those summarization methods. In this paper, we investigate the applicability of the evaluation measures from ontology evaluation and summary evaluation domain for ontology summary evaluation. Based on those measures, we evaluate the performances of the existing user-driven ontology summarization approaches.